Evidence map›Paper›PMID 39319278›Full record

ArticlePediatric gastroenterology, hepatology & nutrition2024

Nutrition Supply and Growth Post Nutrition Support Team Activity in Neonatal Intensive Care Unit.

Hye Min Ha, Yu Jin Jung, Yoo Rha Hong, So Yoon Choi

Abstract read
In one paragraph

Article in Pediatric gastroenterology, hepatology & nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Hye Min HaDepartment of Pharmacy, Kosin University Gospel Hospital, Busan, Korea.ORCID https://orcid.org/0000-0001-8583-3076
Yu Jin JungDepartment of Pediatrics, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Korea.ORCID https://orcid.org/0000-0001-7945-0511
Yoo Rha HongDepartment of Pediatrics, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Korea.ORCID https://orcid.org/0000-0002-7673-070X
So Yoon ChoiDepartment of Pediatrics, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Korea.ORCID https://orcid.org/0000-0002-7389-7678

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: For neonates admitted to the neonatal intensive care unit (NICU), appropriate nutritional assessment and intervention are important for adequate growth. In this study, we aimed to determine whether there were changes in the nutritional supply and growth status of premature infants hospitalized in the NICU after the introduction of the Nutrition support team (NST). Methods: This study retrospectively analyzed premature infants admitted to the NICU for over 14 days. The average daily calorie, protein, and fat supply at 1 and 2 weeks after birth were compared before and after NST, and growth was evaluated by changes in length, weight, and head circumference z-scores at birth and 28 days after birth. Results: A total of 79 neonates were included in the present study, with 32 in the pre-NST group and 47 in the post-NST group. The average daily energy supply during the first ( Conclusion: Nutrient supply and length z-score change increased significantly at 28 days after birth in the post-NST group. These results suggest that calorie calculators and NST activity can promote adequate growth and development in neonates.

Indexed as

GrowthInfant, prematureIntensive care units, neonatalNutritional statusNutritional support

Identifiers

PMID39319278
PMCPMC11419787

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.